Moodmind – Smart Diary
A smart diary that predicts stress from wearable physiological data via Bluetooth and Google Fit.
- Role
- Senior software engineer · team of 8
- Year
- 2023
- Tech stack
- React Native
The project
Moodmind is an application that predicts stress through machine learning based on physiological data from several wearables, using Bluetooth and Google Fit integration so users can quickly respond and become aware of their emotional state.
Context
Flow works on integrating psychophysiological data, such as electrodermal activity and heart rate, into products. Alongside the apps, I developed metrics and solutions for bringing that data into development environments. I also coordinated developers and a machine learning researcher to integrate the products and define their architecture.